Research Repository
A Semantic Ontology-Based Records Management Approach for Academic Users’ Decision Support
Samsudin, Ahmad Zam Hariro (2014) A Semantic Ontology-Based Records Management Approach for Academic Users’ Decision Support. PhD thesis, Victoria University.
![]() |
Text
Ahmad Zam Hariro Samsudin.pdf Download (4MB) |
Abstract
Within the field of information systems development, enterprise records management (ERM) technologies have largely failed to meet industry‟s demands, especially for context-sensitive records management and document preservation. Electronic document and record management systems (EDRMS), as an enterprise records management tool, have become well-recognised applications for academic users in higher education institutes. The systems often show limited decision support options for academic users such as educators and students, resulting in a lack of coordination and duplication of academic efforts. For sustainable records management, it is beneficial to have a more context-specific and systematic EDRMS for an individual‟s effective decision-making. This study intends to make two distinct contributions in the following ways: Firstly, the study outlines a four-phased approach adapting the step-by-step process to conduct the empirical investigation through case study data collection and analysis in order to create a new ontology-based records management approach. Secondly, the study proposes a new architecture of the domain ontology-based ERM approach that satisfies user requirements and promotes the value of using it to meet organisational standards.
Item Type: | Thesis (PhD thesis) |
---|---|
Uncontrolled Keywords: | ontology development, Semantic Web technologies, data collection, database management |
Subjects: | FOR Classification > 1303 Specialist Studies in Education FOR Classification > 1503 Business and Management Faculty/School/Research Centre/Department > College of Business |
Depositing User: | VU Library |
Date Deposited: | 26 Nov 2015 02:48 |
Last Modified: | 26 Nov 2015 02:48 |
URI: | http://vuir.vu.edu.au/id/eprint/29725 |
ePrint Statistics: | View download statistics for this item |
Repository staff only
![]() |
View Item |